Data Science Innovator for Media Analytics

hace 4 semanas


Madrid, Madrid, España Nielseniq A tiempo completo

**Company Overview**

We show the world what people want at GfK. Join us and help shape tomorrow.

GfK is a leading consumer intelligence firm, delivering the Full View on consumer behavior. As an NIQ company, we enable manufacturers and retailers to better understand consumer needs.

We've inspired trust for over 89 years by discovering new pathways to sustainable growth for our clients, people, and planet.

We're always looking for open-minded individuals who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI.

Our Mission:

Develop Marketing Science solutions in media analytics

Support product development during concept testing phases, scaling, and production

Transform proofs-of-concept into scalable, production-ready code

Responsibilities:

  • Develop, implement, and standardize marketing science solutions in proofs-of-concept and prototypes
  • Continuously improve the efficiency of marketing science products (e.g., ensure quality by adherence to coding guidelines, documentation, and reproducibility)
  • Omitize marketing science models using code optimization, high-performance computing, and real-time techniques
  • Identify best practices and create continuous improvement of tools and methods
  • Closely collaborate with Product Owners, Modellers, Marketing Scientists, and Front End Software Engineers

Qualifications:

  • Bachelor or Master degree reflecting strong statistical/mathematical/computer science skills
  • Strong expertise in Python usage – at least 3 years of development with experience in building Python packages
  • Understanding of R
  • Experienced in statistical modelling on top of predictive modeling
  • Able to manage code deployments (experience with GIT)
  • Basic understanding of Dockerization – building and managing docker images
  • Experienced with creating, managing, and/or maintaining code documentation
  • Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
  • Ability to present and explain complex concepts to less experienced colleagues

Estimated Salary Range: $120,000 - $180,000 per year


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